decoders¶
Collection of Decoders (i.e., GANs’ Discriminators) models.
Classes
Primitive Model for all fully connected decoder based architecture. |
-
class
ashpy.models.fc.decoders.
BaseDecoder
(hidden_units, output_shape)[source]¶ Bases:
ashpy.models.fc.interfaces.FCInterface
Primitive Model for all fully connected decoder based architecture.
Examples
decoder = BaseDecoder( hidden_units=[64,128,256], output_shape=55) print(decoder(tf.zeros((1,10))).shape)
(1, 55)
-
__init__
(hidden_units, output_shape)[source]¶ Instantiate the
BaseDecoder
.- Parameters
hidden_units (
tuple
ofint
) – Number of units per hidden layer.output_shape (int) – Amount of units of the last
tf.keras.layers.Dense
.
- Returns
-